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Assistant Professor - Tenure Track in the Broad Area of Signal Processing and C

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Assistant Professor - Tenure Track in the Broad Area of Signal Processing and Communications

The Department of Electrical and Computer Engineering at the University of California at Santa Barbara is accepting applications for a tenure-track faculty position at the Assistant Professor level in the broad area of signal processing and communications, with an effective appointment date of July 1, 2019. The Department has particular (non-exclusive) interest in applicants with a depth of expertise in data science, machine learning, and related fields, along with broader interests and the ability to collaborate with faculty across disciplines.

Candidates should have an established research reputation or outstanding research potential, the ability to attract external research funding, and a strong commitment to teaching at the undergraduate and graduate levels. The department is especially interested in candidates who can contribute to the diversity and excellence of the academic community through research, teaching and service.

A Ph.D. in Electrical and Computer Engineering or a closely related field is required and expected by the time of appointment. Completed applications will consist of a cover letter, curriculum vitae, teaching statement (2-page limit), statement of research interests (3-page limit), and three letters of reference; applicants may also choose to submit a statement of diversity contributions.

Applications must be submitted electronically at http://recruit.ap.ucsb.edu/apply/JPF01357

Completed applications received by December 15, 2018 will be given priority consideration, but the position will remain open until filled.

The University of California is an Equal Opportunity/Affirmative Action Employer and all qualified applicants will receive consideration for employment without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, disability status, protected veteran status, or any other characteristic protected by law.


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Document ID: AC416-0TA9  
Ad Number: 1307513
Job Type:  Regular

Job Schedule: Full-time


Published in:  JobElephant
Published on: 2018-12-1012/10/2018
2019-01-09
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